Gabriel Bédubourg

ORCID: 0000-0002-8182-898X
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About
Contact & Profiles
Research Areas
  • Data-Driven Disease Surveillance
  • Misinformation and Its Impacts
  • Anomaly Detection Techniques and Applications
  • Zoonotic diseases and public health
  • Viral Infections and Outbreaks Research
  • Disaster Response and Management
  • Influenza Virus Research Studies
  • Health and Conflict Studies
  • Salmonella and Campylobacter epidemiology
  • Bacillus and Francisella bacterial research
  • Viral gastroenteritis research and epidemiology
  • Food Safety and Hygiene
  • Animal Disease Management and Epidemiology
  • Injury Epidemiology and Prevention
  • Global Peace and Security Dynamics
  • Corneal surgery and disorders
  • Time Series Analysis and Forecasting
  • Vector-Borne Animal Diseases
  • Biomedical Text Mining and Ontologies
  • Papaya Research and Applications
  • Corneal Surgery and Treatments
  • Glaucoma and retinal disorders
  • Global Health and Surgery
  • Burn Injury Management and Outcomes
  • Global Security and Public Health

Economic & Social Sciences, Health Systems & Medical Informatics
2016-2024

Inserm
2016-2024

Institut de Recherche pour le Développement
2016-2024

Centre d’histoire de Sciences Po
2017-2018

Service de Santé des Armées
2018

Centre de recherche en Epidémiologie et Santé des Populations
2017

Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes
2017

Aix-Marseille Université
2016-2017

Méditerranée Infection Foundation
2017

Assistance Publique Hôpitaux de Marseille
2017

The objective of this paper is to evaluate a panel statistical algorithms for temporal outbreak detection. Based on large dataset simulated weekly surveillance time series, we performed systematic assessment 21 algorithms, 19 implemented in the R package and two other methods. We estimated false positive rate (FPR), probability detection (POD), during first week, sensitivity, specificity, negative predictive values F1-measure each method. Then, identify factors associated with these...

10.1371/journal.pone.0181227 article EN cc-by PLoS ONE 2017-07-17

PURPOSE: To evaluate the visualization and depth of demarcation line with anterior segment optical coherence tomography (AS-OCT) after iontophoresis-assisted transepithelial corneal collagen cross-linking (CXL). METHODS: This prospective, consecutive, single center, non-randomized clinical study involved 15 eyes 12 patients keratoconus who underwent an AS-OCT scan (Spectralis; Heidelberg Engineering, Inc., Carlsbad, CA) to search for a its at 1 month CXL. measurements were performed by two...

10.3928/1081597x-20141218-04 article EN Journal of Refractive Surgery 2015-01-01

Context: Despite existing preventive measures, the number of acute acoustic trauma (AAT) cases reported to French Military Epidemiological Surveillance System (MESS) remains high. Aims: The objective this study was describe AAT and measures already implemented. Subjects Methods: We conducted a descriptive cross-sectional analysis using data from MESS for period 2007–2014. In addition, we reviewed current prevention that exist in armed forces. Statistical Analysis Used: Comparisons between...

10.4103/1463-1741.195802 article EN cc-by-nc-sa Noise and Health 2016-01-01

On 13 April 2011 the medical service of a French military parachuting unit reported an outbreak acute gastroenteritis involving 147 persons among personnel. Meals suspected to have caused (pasta and some raw vegetables) were tested for norovirus by PCR. The same (genogroup I) was found in food items consumed cases cook who prepared meals.

10.2807/ese.16.30.19930-en article EN cc-by Eurosurveillance 2011-07-28

We describe the implementation of an automated infectious disease surveillance system that uses data collected from 210 microbiologic laboratories throughout Provence-Alpes-Côte d'Azur region in France. Each week, these facilities report bacterial species have been isolated patients their area. An alarm is triggered whenever case count for a infection exceeds 2 SDs historical mean at participating laboratory. At its inception July 2013, monitored 611 species. During 1, 2013-March 20, 2016,...

10.3201/eid2304.161399 article EN cc-by Emerging infectious diseases 2017-02-28

The main objective of this study was to evaluate the contribution a newly implemented daily surveillance system management 2009 A(H1N1) influenza pandemic by military decision-makers at different levels in French Department Defence.The sample included all medical advisors Ministry Defence and Armed Forces Staff also members specific committee dedicated flu control. variables studied were mental representation epidemiology, relevance, usefulness, real-time use data using quantitative...

10.7205/milmed-d-13-00261 article EN Military Medicine 2014-01-31

Introduction There is a requirement for adequate medical expertise to be available throughout the range of potential future operations involving members North Atlantic Treaty Organization (NATO). The aim this study was assess collection and sharing intelligence information (M2I) by NATO Nations, Partner Nations Command Structure Force Headquarters (NCS/NFS HQs). Materials methods A transversal survey conducted between December 2014 March 2015 using form on M2I sent Partnership Peace (PfP) as...

10.1136/jramc-2017-000849 article EN Journal of the Royal Army Medical Corps 2018-04-06

During the 2014-15 Ebola virus disease (EVD) outbreak in West Africa, French armed forces were involved treatment and management of patients Guinea. The constant flow military personnel returning from their deployment posed a risk secondary dissemination virus. Our objective was to describe follow-up service members that implemented prevent this France.For military, specific complementary added national monitoring take into account need for detailed record keep chain command informed.All 410...

10.1093/pubmed/fdx107 article EN Journal of Public Health 2017-08-09

We performed a simulation study in order to evaluate performance of 8 algorithms used health surveillance for early outbreak detection. Each method was evaluated through its false positive rate (FPR) and probability detection (POD: at least one alarm during the period), different scenarios sizes. Some methods have presented POD>80% FPR<20% largest simulated outbreaks. For other algorithms, we observed heterogeneous performances according Other criteria need be proposed improve choice...

10.5210/ojphi.v8i1.6505 article EN cc-by Online Journal of Public Health Informatics 2016-03-24
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